4 things business leaders should know as they explore AI and deep learning
Our survey reveals how organizations are using tools, techniques, and training to apply AI through deep learning.
Research
Analysis of notable trends based on original surveys, usage, and data sets.
Privacy in the age of machine learning
Ben Lorica explores emerging security best practices for business intelligence, machine learning, and mobile computing products.
7 on-the-rise technology trends to track and learn 2018
AI, Python, Java, blockchain, and cloud technologies are active topics on O’Reilly’s online learning platform.
We need to build machine learning tools to augment machine learning engineers
As the use of analytics proliferate, companies will need to be able to identify models that are breaking bad.
The state of AI adoption
An overview of adoption, and suggestions to companies interested in AI technologies.
Practical applications of reinforcement learning in industry
An overview of commercial and industrial applications of reinforcement learning.
Responsible deployment of machine learning
Ben Lorica explains how to guard against flaws and failures in your machine learning deployments.
How companies can navigate the age of machine learning
To become a “machine learning company,” you need tools and processes to overcome challenges in data, engineering, and models.
The age of machine learning
Ben Lorica discusses the state of machine learning.
The state of AI adoption
AI Conference chairs Ben Lorica and Roger Chen reveal the current AI trends they've observed in industry.
2017 Software Development Salary Survey
Find out what pays and what doesn't for software engineers, developers, and other programming professionals.
2017 European Data Science Salary Survey
Tools, trends, what pays (and what doesn’t) for data professionals in Europe
2016 Data Science Salary Survey
Results and analysis from O'Reilly's fourth annual survey of data science professionals.
2016 Software Development Salary Survey
Find out what pays and what doesn't for programming professionals.
2016 Design Salary and Tools Survey
How variables like job title, location, tools, and tasks affect salary and other compensation.